Update README.md

README.md

@@ -9,60 +9,31 @@ Quantised 2bit, 4bit and 5bit GGMLs of [changsung's alpaca-lora-65B](https://hug
 
 I also have 4bit GPTQ files for GPU inference available here: [TheBloke/alpaca-lora-65B-GPTQ-4bit](https://huggingface.co/TheBloke/alpaca-lora-65B-GPTQ-4bit).
 
+## REQUIRES LATEST LLAMA.CPP (May 12th 2023 - commit b9fd7ee)!
+
+llama.cpp recently made a breaking change to its quantisation methods.
+
+I have re-quantised the GGML files in this repo. Therefore you will require llama.cpp compiled on May 12th or later (commit `b9fd7ee` or later) to use them.
+
+The previous files, which will still work in older versions of llama.cpp, can be found in branch `previous_llama`.
+
 ## Provided files
 | Name | Quant method | Bits | Size | RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-`alpaca-lora-65B.ggml.q2_0.bin` | q2_0 | 2bit | 24.5GB | 27GB | Lowest RAM requirements, minimum quality | 
-`alpaca-lora-65B.ggml.q4_0.bin` | q4_0 | 4bit | 40.8GB | 43GB | Maximum compatibility |
-`alpaca-lora-65B.ggml.q4_2.bin` | q4_2 | 4bit | 40.8GB | 43GB | Best compromise between resources, speed and quality |
-`alpaca-lora-65B.ggml.q5_0.bin` | q5_0 | 5bit | 44.9GB | 47GB | Brand new 5bit method. Potentially higher quality than 4bit, at cost of slightly higher resources. |
-`alpaca-lora-65B.ggml.q5_1.bin` | q5_1 | 5bit | 49GB | 51GB | Brand new 5bit method. Slightly higher resource usage than q5_0. |
-
-* The q2_0 file requires the least resources, but does not have great quality compared to the others.
-  * It's likely to be better to use a 30B model at 4bit vs a 65B model at 2bit.
+`alpaca-lora-65B.ggml.q4_0.bin` | q4_0 | 4bit | 40.8GB | 43GB | 4bit. |
+`alpaca-lora-65B.ggml.q5_0.bin` | q5_0 | 5bit | 44.9GB | 47GB | 5bit. Higher quality than 4bit, at cost of slightly higher resources. |
+`alpaca-lora-65B.ggml.q5_1.bin` | q5_1 | 5bit | 49GB | 51GB | Sbit. Slightly higher resource usage and quality than q5_0. |
+
 * The q4_0 file provides lower quality, but maximal compatibility. It will work with past and future versions of llama.cpp
-* The q4_2 file offers the best combination of performance and quality. This format is still subject to change and there may be compatibility issues, see below.
 * The q5_0 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_0.
 * The q5_1 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_1.
 
-## q4_2 compatibility
-
-q4_2 is a relatively new 4bit quantisation method offering improved quality. However they are still under development and their formats are subject to change.
-
-In order to use these files you will need to use recent llama.cpp code. And it's possible that future updates to llama.cpp could require that these files are re-generated.
-
-If and when the q4_2 file no longer works with recent versions of llama.cpp I will endeavour to update it.
-
-If you want to ensure guaranteed compatibility with a wide range of llama.cpp versions, use the q4_0 file.
-
-## q5_0 and q5_1 compatibility
-
-These new methods were released to llama.cpp on 26th April. You will need to pull the latest llama.cpp code and rebuild to be able to use them.
-
-Don't expect any third-party UIs/tools to support them yet.
-
-### 2bit q2_0 compatibility
-
-This file was created using an experimental 2bit method being trialled in [llama.cpp PR 1004](https://github.com/ggerganov/llama.cpp/pull/1004).
-
-This code is not yet merged into the main `llama.cpp` repo and it is not clear if it ever will be.
-
-To run this file you need to compile and run the same `llama.cpp` code that was used to create it.
-
-To checkout this code and compile this version, do the following:
-```
-git clone https://github.com/sw/llama.cpp llama-q2q3
-cd llama-q2q3
-git checkout q2q3
-make
-```
-
 ## How to run in `llama.cpp`
 
 I use the following command line; adjust for your tastes and needs:
 
 ```
-./main -t 18 -m alpaca-lora-65B.ggml.q4_2.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.
+./main -t 18 -m alpaca-lora-65B.ggml.q4_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.
 ### Instruction:
 Write a story about llamas
 ### Response:"